The study of amount of predicting human resources development, through knowledge management value chain Rizi Maryam Beigi, Shahtalebi Badri Department of Educational Sciences, Khorasgan (Isfahan)Branch, Islamic Azad University, Isfahan, Iran Online published on 12 November, 2013. Abstract Present research has analyzed the amount of predicting human resources development, through knowledge management value chain (creation, storage, distribution, application). All of the employees of a big Iranian Steel Industry Company took part in the survey. 232 people were chosen by using systematic sampling method and the sample size formula. To collect data, two researcher-made questionnaires of knowledge management and human resources development have been used. Also content validity and face validity of questionnaires in this research were confirmed by experts. The validity of both questionnaires was estimated by using Cronbach's alpha coefficient (α) which equals to 0.87 in knowledge management and 0.83 in human resources development. Analysis of the data is done by using inferential statistics (including Pearson r, analysis of variance test and multiple regressions). The result has shown that among the variables of knowledge management, three variables (creation, storage and application) can predict human resources development. Top Keywords Knowledge management value chain, Human resources development, Knowledge creation, Knowledge storage, Knowledge distribution, Knowledge application. Top |